Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
2000 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 9, no 12, 2027-2042 p.Article in journal (Refereed) Published
Abstract [en]

This work presents two mechanisms for processing fingerprint images; shape-adapted smoothing based on second moment descriptors and automatic scale selection based on normalized derivatives. The shape adaptation procedure adapts the smoothing operation to the local ridge structures, which allows interrupted ridges to be joined without destroying essential singularities such as branching points and enforces continuity of their directional fields. The Scale selection procedure estimates local ridge width and adapts the amount of smoothing to the local amount of noise. In addition, a ridgeness measure is defined, which reflects how well the local image structure agrees with a qualitative ridge model, and is used for spreading the results of shape adaptation into noisy areas. The combined approach makes it possible to resolve fine scale structures in clear areas while reducing the risk of enhancing noise in blurred or fragmented areas. The result is a reliable and adaptively detailed estimate of the ridge orientation field and ridge width, as well as a Smoothed grey-level version of the input image. We propose that these general techniques should be of interest to developers of automatic fingerprint identification systems as well as in other applications of processing related types of imagery.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2000. Vol. 9, no 12, 2027-2042 p.
Keyword [en]
affine, automatic scale selection, diffusion, enhancement, fingerprint, image processing, scale-space, edge-detection, surface orientation, ridge detection, texture, algorithm, system, images, cues
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-20181DOI: 10.1109/83.887971ISI: 000165517200004OAI: oai:DiVA.org:kth-20181DiVA: diva2:338874
Note

QC 20100525

Available from: 2013-04-19 Created: 2010-08-10 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

fulltext(1488 kB)666 downloads
File information
File name FULLTEXT01.pdfFile size 1488 kBChecksum SHA-512
5ed1226719308c5ed83e0b29b8354763451d311f385b5a19c5df997947fb0a429a2d23c4fd2af08ed944df6ad4b8105fa1bda2828697182ca49b0af762332924
Type fulltextMimetype application/pdf

Other links

Publisher's full textAt authors' home pageIEEEXplore

Authority records BETA

Lindeberg, Tony

Search in DiVA

By author/editor
Lindeberg, Tony
By organisation
Computational Biology, CB
In the same journal
IEEE Transactions on Image Processing
Computer SciencesComputer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 666 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 443 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf